This paper refers to the method of using the deep neural long-short-term memory (LSTM)
network for the problem of electrocardiogram (ECG) signal classification. ECG signals …

Monitoring of industrial processes is an important element ensuring the proper maintenance
of equipment and high level of processes reliability. The presented research concerns the …

In this paper we report experimental results on the granular temperature and velocity profile
of glass beads in steady-state flow inside a flat-bottomed silo. We found that the dynamics of …

This paper presents a novel approach to a complex process of electrical capacitance
tomography (ECT) measurement data analysis. ECT is frequently employed for non-invasive …

An uncommon facet of formation evaluation is the assessment of flow-related in-situ
properties of rocks. Most of the models used to describe two-phase flow properties of porous …

Abstract The Me 163 was a Second World War fighter airplane and is currently displayed in
the Deutsches Museum in Munich, Germany. A complete computed tomography (CT) scan …

Accurate description and modeling of multiphase fluid flow are of paramount importance for
subsurface resource engineering. The main source of information to quantify in-situ rock …

Blending theoretical knowledge with applicable skills is one of the most important
challenges in modern higher education, especially in STEM areas. Therefore, new …

The article presents image reconstruction in ultrasonic transmission tomography using the
Fermat principle. The application consists of an ultrasound tomograph built by the authors …

The article describes the progress of construction and research works on ultrasound
tomography. The devices allow for non-invasive measurements of various objects using …